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    Opportunity: Computer Science Postdoctoral Fellowship (#75095) @ Lawrence Berkeley National Laboratory -- Berkeley, CA (US)
    Submitted by Jeff Todd; posted on Thursday, September 13, 2012



    The Scientific Data Management Research Group has an immediate opening for a post-doctoral researcher to analyze time-series data from network traffic and related computer science problems. The project investigates and models a general-purpose, reusable and expandable network performance estimation framework to improve the efficiency of resource utilization and scheduling and scientific data transfer management on high-speed networks. The predictive estimation model and the framework will be helpful in optimizing the performance and utilization of fast networks as well as sharing resources with predictable performance for scientific collaborations, especially in data intensive applications. Empirical network performance estimation would be able to provide predictive estimation for a future time window, together with some probabilistic variability estimate.

    The LBNL Scientific Data Management (SDM) Group performs research and development in scientific data management and analysis for extreme scale computing and multi-petabyte experimental and simulation datasets. The overarching goal of the group is to enable sciences through the design, analysis and development of Big Data management technologies that allow scientists to access their data more efficiently. Members of SDM group work closely with application scientists throughout the DOE Office of Science community (e.g., climate change research, astronomy, astrophysics, fusion simulation, high energy physics, nuclear science, and life sciences), with faculty and students from universities throughout the world, and with staff in the NERSC production computing facility and other DOE Leadership Computing Facilities. The SDM group members have a strong history of publications in top journals and conferences and have developed software systems that are broadly used outside the group.


    For full consideration, follow the link to the job posting and apply directly to Berkeley Lab. As part of the online application process, please complete a profile, including uploading attachments relevant to the opportunity. Be sure to reference where you found the position (Bioinformatics.Org).[...]75095


    Berkeley Lab is an affirmative action/equal opportunity employer committed to the
    development of a diverse workforce.

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